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2020 – today
- 2024
[c9]Thomas Reitmaier
, Dani Kalarikalayil Raju, Ondrej Klejch, Electra Wallington, Nina Markl, Jennifer Pearson, Matt Jones, Peter Bell, Simon Robinson:
Cultivating Spoken Language Technologies for Unwritten Languages. CHI 2024: 614:1-614:17- [c8]Nina Markl, Lauren Hall-Lew, Catherine Lai:
Language Technologies as If People Mattered: Centering Communities in Language Technology Development. LREC/COLING 2024: 10085-10099 - [c7]Thomas Reitmaier, Electra Wallington, Ondrej Klejch, Dani Kalarikalayil Raju, Nina Markl, Emily Esther Nielsen, Gavin Bailey, Jennifer Pearson, Matt Jones, Peter Bell, Simon Robinson:
UnMute Toolkit: Speech Interactions Designed With Minoritised Language Speakers. CUI 2024: 56 - [i5]Eddie L. Ungless, Nina Markl, Björn Ross:
Experiences of Censorship on TikTok Across Marginalised Identities. CoRR abs/2407.14164 (2024) - [i4]Ariadna Sanchez, Alice Ross, Nina Markl:
Beyond the binary: Limitations and possibilities of gender-related speech technology research. CoRR abs/2409.13335 (2024) - 2023
- [c6]Thomas Reitmaier, Electra Wallington, Ondrej Klejch, Nina Markl, Léa-Marie Lam-Yee-Mui, Jennifer Pearson, Matt Jones, Peter Bell, Simon Robinson:
Situating Automatic Speech Recognition Development within Communities of Under-heard Language Speakers. CHI 2023: 406:1-406:17 - [c5]Ramon Sanabria, Nikolay Bogoychev, Nina Markl, Andrea Carmantini, Ondrej Klejch, Peter Bell:
The Edinburgh International Accents of English Corpus: Towards the Democratization of English ASR. ICASSP 2023: 1-5 - [c4]Nina Markl, Catherine Lai:
Everyone has an accent. INTERSPEECH 2023: 4424-4427 - [i3]Ramon Sanabria, Nikolay Bogoychev, Nina Markl, Andrea Carmantini, Ondrej Klejch, Peter Bell:
The Edinburgh International Accents of English Corpus: Towards the Democratization of English ASR. CoRR abs/2303.18110 (2023) - 2022
- [j1]Claire Cowie, Lauren Hall-Lew, Zuzana Elliott, Anita Klingler, Nina Markl, Stephen Joseph McNulty:
Imagining the city in lockdown: Place in the COVID-19 self-recordings of the Lothian Diary Project. Frontiers Artif. Intell. 5 (2022) - [c3]Nina Markl:
Language variation and algorithmic bias: understanding algorithmic bias in British English automatic speech recognition. FAccT 2022: 521-534 - [c2]Nina Markl, Stephen Joseph McNulty:
Language technology practitioners as language managers: arbitrating data bias and predictive bias in ASR. LREC 2022: 6328-6339 - [c1]Nina Markl:
Mind the data gap(s): Investigating power in speech and language datasets. LT-EDI 2022: 1-12 - [i2]Nina Markl, Stephen Joseph McNulty:
Language technology practitioners as language managers: arbitrating data bias and predictive bias in ASR. CoRR abs/2202.12603 (2022) - 2020
- [i1]Laurie Burchell, Jie Chi, Tom Hosking, Nina Markl, Bonnie Webber:
Querent Intent in Multi-Sentence Questions. CoRR abs/2010.08980 (2020)
Coauthor Index
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